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A Proxy Means Test for Sri Lanka

Author

Listed:
  • Ashwini Sebastian
  • Shivapragasam Shivakumaran
  • Ani Rudra Silwal
  • David Newhouse
  • Thomas Walker
  • Nobuo Yoshida

Abstract

This paper intends to inform the effort of the Sri Lankan government to reform the targeting efficacy of its social protection programs, in particular, Samurdhi, which currently distributes benefits based on self-reported income. The paper develops a proxy means test for Sri Lanka based on the Household Income and Expenditure Survey 2016 and evaluates its performance for targeting benefits of Samurdhi. The paper considers a range of models and policy parameters that could be applied depending on data availability and country preferences. The results indicate that switching to a proxy means test could considerably improve the targeting performance of Samurdhi and would significantly improve the poverty impact of the program. The analysis finds that the performance of the proposed proxy means test model suffers when the coefficients are estimated from samples smaller than 1,000 households. However, the analysis does not find a similar loss of model performance when the model is estimated from seasonal data, provided the sample size is sufficiently large. The proposed model could be applied to targeting a variety of safety net programs after validating and refining the model by conducting a pilot survey.
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Suggested Citation

  • Ashwini Sebastian & Shivapragasam Shivakumaran & Ani Rudra Silwal & David Newhouse & Thomas Walker & Nobuo Yoshida, 2018. "A Proxy Means Test for Sri Lanka," World Bank Publications - Reports 30125, The World Bank Group.
    • Handle: RePEc:wbk:wboper:30125
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    File URL: https://openknowledge.worldbank.org/bitstream/handle/10986/30125/A-Proxy-Means-Test-for-Sri-Lanka.pdf?sequence=1
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    Cited by:

    1. Sánchez Ramos, Karen Melissa & Karimi, Abdul Matin, 2020. "Social protection in Sri Lanka: An analysis of the social, economic and political effectiveness of the Samurdhi program," MPRA Paper 102558, University Library of Munich, Germany.

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